Student's Corner

Neha Nageswaran talks about her Master's thesis, in which she explored the potentials of AI-based analysis of gait movements for the clinical assessment of Parkinson's Disease.

Mehmet Can Ay presents PDataViewer, a web-based application to explore the data landscape for Parkinson's Disease research, which he developed as part of his Master's thesis.

Deniz Er provides insights into predicting biological causal relationships in Alzheimer's research through link prediction methods applied to the Human Brain Pharmacome (HBP), the focus of her Master's thesis.

Kiril Klein introduces the PHAIR project, which aims to improve the surveillance of drug safety monitoring by integrating health data and artificial intelligence.

Georg von Arnim gives insights into personalized drug recommendation via in-context learning on graph data, the topic of his recently submitted master's thesis.

Mohamed Aborageh shares a preview of his upcoming paper, demonstrating how genetic data can be used to assess the causal effect of different comorbidities on the development of dementia in Parkinson's patients.

Konrad Gerischer presents his Master's thesis about differences in the expression of immune system-related genes between Alzheimer's patients and healthy controls.

Joud Odeh talks about her Master's thesis in which she analyzed the sleep behavior of patients with different stages of Alzheimer's disease.

PhD candidate Jonas describes how dynamic ensembles can help reduce bias in short-term forecasts in pandemic situations. This work is part of the AIOLOS project.

Master student Yihao Wang explains how he improved Natural Language Processing (NLP) models by infusing prior knowledge from ontologies.